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, in addition to interfacing with the established Human-Computer Interaction (HCI) FIT lab. The candidate will be working alongside other researchers on the FLUIDITY project on human-robot interaction
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in
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, 2025 or as soon as possible hereafter. Our group and research The Weischenfeldt lab use genome data science to delineate the mutational mechanisms and clonal evolution of cancer, with a particular focus
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Summary: The 2D Quantum Materials and Devices Lab, led by Dr. Yihang Zeng at Purdue University, is seeking a highly motivated and capable Postdoctoral Research Associate to work at the forefront of two
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specifically examine gas corrosion mechanisms in connection with copper and silver, while investigation also will be carried out on specific electronic components such as chip resistors, IGBT substrates etc
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economics. The successful candidate will play an integral role in launching and running the new LSE Green Skills Lab at the Grantham Research Institute, supporting data-driven, policy-relevant research
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the applicability of aptameric scaffolds in designing synthetic immunological modulators and other cellular modulators. The Mallikaratchy laboratory is a chemical biology and molecular targeting lab that apply
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 30 days ago
are complemented by the MPIDR’s own initiatives. For more information, see: www.demogr.mpg.de/go/work-family . In addition, there are a range of central initiatives and measures primarily geared towards helping
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applied to control problems or tiny RL scenarios. Explore digital hardware realizations of the proposed RL algorithms within existing spiking neural network chip designs. Quantitative comparisons with